2022 5th International Symposium on Informatics and its Applications (ISIA)最新文献_第2页

A Fluid Approach to Model and Assess the Energy Level of Autonomous devices in IoT with Solar Energy Harvesting Capability 具有太阳能收集能力的物联网中自主设备能量水平建模和评估的流体方法

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993564

Oukas Nourredine, Djouabri Abderrezak, Arab Karima, Helal Mira

引用次数: 1

Food Ontology Enrichment Using Word Embeddings and Machine Learning Technologies 利用词嵌入和机器学习技术丰富食品本体

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993591

Melissa Oussaid, Farida Bouarab-Dahmani, N. Cullot

引用次数: 1

Swarm optimization for Arabic word sense disambiguation based on English pre-trained word embeddings 基于英语预训练词嵌入的阿拉伯语词义消歧群优化

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993494

Bekhouche Abdelaali, Yamina Tlili-Guiassa

引用次数: 0

Equilibrium Optimizer and Henry Gas Solubility Optimization Algorithms for Feature Selection: Comparison Study 平衡优化器和亨利气体溶解度优化算法的特征选择:比较研究

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993543

Khaoula Zineb Legoui, Sofiane Maza, A. Attia

引用次数: 1

Hybrid Deep Learning-based Intrusion Detection System for Industrial Internet of Things 基于混合深度学习的工业物联网入侵检测系统

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993487

Amina Khacha, Rafika Saadouni, Yasmine Harbi, Z. Aliouat

{"title":"Hybrid Deep Learning-based Intrusion Detection System for Industrial Internet of Things","authors":"Amina Khacha, Rafika Saadouni, Yasmine Harbi, Z. Aliouat","doi":"10.1109/ISIA55826.2022.9993487","DOIUrl":"https://doi.org/10.1109/ISIA55826.2022.9993487","url":null,"abstract":"The internet of things (IoT) is expected to offer a significant impact on the industry domain leading to the concept of industrial IoT (IIoT). The IIoT comprises machine-to-machine (M2M) and communication technologies with data automation and exchange to improve product quality and decrease pro-duction costs. As a consequence, a large amount of data is collected and smartly processed to provide optimal industrial operations. This growing deployment enables adversaries to con-duct potential and destructive cyber-attacks to accomplish their malicious goals. Therefore, intelligent decision-making actions for cyber-attack detection in IIoT are sorely required. To address this challenge, we propose an intrusion detection system (IDS) using deep learning models. Specifically, the proposed system is based on the combination of convolutional neural network (CNN) and long short-term memory (LSTM) that are excellent techniques for intrusion detection and classification due to their ability in classifying main characteristics and their effectiveness in performing faster computations. We adopt the most recent dataset named Edge-IIoTset that contains a real traffic network of IoT and IIoT applications. The proposed model is evaluated in terms of accuracy, precision, false positive rate, and detection cost within binary and multi-class classifications. The obtained results show that our CNN-LSTM model provides better performance and robustness in cyber security intrusion detection for IIoT applications compared to LSTM and traditional machine learning models. Moreover, it outperforms two recent related models in terms of accuracy rate.","PeriodicalId":169898,"journal":{"name":"2022 5th International Symposium on Informatics and its Applications (ISIA)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130872326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Word Embeddings for a Disciplinary Tutoring System 学科辅导系统的词嵌入

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993615

Rosana Abdoune, Lydia Lazib, Farida Dahmani-Bouarab

{"title":"Word Embeddings for a Disciplinary Tutoring System","authors":"Rosana Abdoune, Lydia Lazib, Farida Dahmani-Bouarab","doi":"10.1109/ISIA55826.2022.9993615","DOIUrl":"https://doi.org/10.1109/ISIA55826.2022.9993615","url":null,"abstract":"Question Answering (QA) systems have made remarkable progress in information retrieval techniques, especially in their ability to naturally access knowledge resources by querying and retrieving correct answers to various questions. In tutoring, these systems can help by reducing the requirement for interaction between learners and tutors and allowing learners to post their queries and receive answers for the same. Hence, we propose a disciplinary tutoring system based on a domain ontology ONTO-TDM (ontology for teaching domain modeling) and natural language processing (NLP) techniques to facilitate access to information and answer the learners' questions. Recently, deep learning algorithms have achieved impressive success in various natural language processing tasks. The basic concept of these techniques is to compute a distributed representation of words from continuous vectors, also known as word embedding. In this study, we use deep learning-based word embedding models for a disciplinary tutoring system. Our goal through this work is to find out whether word embedding could significantly improve the response generation task of the suggested system. Therefore, we have built word embeddings using the word2vec skip-gram model with different training parameters on a large corpus composed of question-answer pairs. Experimental results show that using the word2vec model has a significant impact on the accuracy of the proposed tool.","PeriodicalId":169898,"journal":{"name":"2022 5th International Symposium on Informatics and its Applications (ISIA)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123486285","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of resonance frequencies of rectangular patch antenna using a multilayer perceptron network 基于多层感知器网络的矩形贴片天线谐振频率预测

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993501

Adil Bouhous

引用次数: 0

Biometric Individual Authentication System using High Performance ECG Fiducial Features 基于高性能心电基准特征的生物识别个人认证系统

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993496

A. Benabdallah, A. Djebbari

引用次数: 0

Application-Aware Opportunistic Routing Protocol for Traffic Violations Notification in Internet of Vehicles 基于应用感知的车联网交通违规通知机会路由协议

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993558

S. Yessad, Smail Hamadache, Sory Ibrahim Siby, Souaad Boussoufa-Lahlah, L. Bouallouche-Medjkoune

{"title":"Application-Aware Opportunistic Routing Protocol for Traffic Violations Notification in Internet of Vehicles","authors":"S. Yessad, Smail Hamadache, Sory Ibrahim Siby, Souaad Boussoufa-Lahlah, L. Bouallouche-Medjkoune","doi":"10.1109/ISIA55826.2022.9993558","DOIUrl":"https://doi.org/10.1109/ISIA55826.2022.9993558","url":null,"abstract":"Vehicular networks are an emerging type of net-works used in several applications in Intelligent Transport Systems and Smart Cities. Recently, the set of these applications has been extended to include even more with the emergence of the connected vehicles and the Internet of Vehicles (IoV). To make these different applications work effectively, wireless communications are required between the various nodes of the network. Specifically, it is important to find an efficient way to route messages from a source node to a destination node. In this paper, we propose to adapt the well known opportunistic routing protocol PRoPHET to send a notification of traffic violation in order to help the traffic policemen in their job. So, the application installed in an OBU, RSU or smartphones broadcasts a hello message with its identification at each time interval and each vehicle receiving this last calculates the probability of encountering these nodes. This last represents the delivery predictability for the application. To evaluate our proposition, we present a case study with the application of the traffic violations notification in the Algerian city of Bejaia. We create a simulation scenario for our application in the ONE simulator and evaluate the latency, the overhead rate, the delivery probability and the number of hops using PRoPHET and Epidemic opportunistic routing protocols.","PeriodicalId":169898,"journal":{"name":"2022 5th International Symposium on Informatics and its Applications (ISIA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128975293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Vision Transformer Based Models for Plant Disease Detection and Diagnosis 基于视觉变压器的植物病害检测与诊断模型

2022 5th International Symposium on Informatics and its Applications (ISIA) Pub Date : 2022-11-29 DOI: 10.1109/ISIA55826.2022.9993508

Rayene Amina Boukabouya, A. Moussaoui, Mohamed Berrimi

引用次数: 1